{"id":"https://openalex.org/W2111882579","doi":"https://doi.org/10.1109/icnc.2007.287","title":"Boosted Bayesian Kernel Classifier Method for Face Detection","display_name":"Boosted Bayesian Kernel Classifier Method for Face Detection","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2111882579","doi":"https://doi.org/10.1109/icnc.2007.287","mag":"2111882579"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2007.287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2007.287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Third International Conference on Natural Computation (ICNC 2007)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103720569","display_name":"Ali Reza Bayesteh Tashk","orcid":null},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Ali Reza Bayesteh Tashk","raw_affiliation_strings":["Electrical Engineering Department, Amirkabir University of Technology\uc2a0, Tehran, Iran","Amirkabir University of Technology, Tehran,"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Amirkabir University of Technology\uc2a0, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]},{"raw_affiliation_string":"Amirkabir University of Technology, Tehran,","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087876394","display_name":"Karim Faez","orcid":"https://orcid.org/0000-0002-1159-4866"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Karim Faez","raw_affiliation_strings":["Electrical Engineering Department, Amirkabir University of Technology\uc2a0, Tehran, Iran","Amirkabir University of Technology, Tehran,"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Amirkabir University of Technology\uc2a0, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]},{"raw_affiliation_string":"Amirkabir University of Technology, Tehran,","institution_ids":["https://openalex.org/I158248296"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103720569"],"corresponding_institution_ids":["https://openalex.org/I158248296"],"apc_list":null,"apc_paid":null,"fwci":0.6491,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72609894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"533","last_page":"537"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9639000296592712,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.756877064704895},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7097204923629761},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.707946240901947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7042558789253235},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6709113121032715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6322848200798035},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5741401314735413},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.5581842660903931},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.49691346287727356},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.4515381157398224},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.44013673067092896},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.43912386894226074},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13404008746147156}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.756877064704895},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7097204923629761},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.707946240901947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7042558789253235},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6709113121032715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6322848200798035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5741401314735413},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.5581842660903931},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.49691346287727356},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.4515381157398224},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.44013673067092896},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.43912386894226074},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13404008746147156}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2007.287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2007.287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Third International Conference on Natural Computation (ICNC 2007)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1605688901","https://openalex.org/W1633751774","https://openalex.org/W1648445109","https://openalex.org/W1975846642","https://openalex.org/W1988790447","https://openalex.org/W2024046085","https://openalex.org/W2032210760","https://openalex.org/W2091467189","https://openalex.org/W2100805904","https://openalex.org/W2115763357","https://openalex.org/W2124776405","https://openalex.org/W2140274257","https://openalex.org/W2152761983","https://openalex.org/W2155210259","https://openalex.org/W2160367227","https://openalex.org/W2164598857","https://openalex.org/W2164921999","https://openalex.org/W2168020168","https://openalex.org/W2168046285","https://openalex.org/W2168420310","https://openalex.org/W2217896605","https://openalex.org/W2912934387","https://openalex.org/W4212883601","https://openalex.org/W4244952642","https://openalex.org/W4285719527","https://openalex.org/W6636690510"],"related_works":["https://openalex.org/W2388218200","https://openalex.org/W2371356469","https://openalex.org/W1996541855","https://openalex.org/W2101819884","https://openalex.org/W2377603574","https://openalex.org/W2102078023","https://openalex.org/W2993844776","https://openalex.org/W2391740273","https://openalex.org/W4291214623","https://openalex.org/W2729693141"],"abstract_inverted_index":{"In":[0],"this":[1,20],"paper,":[2],"we":[3],"present":[4],"a":[5,40],"novel":[6],"face":[7,106],"detection":[8],"approach":[9],"based":[10],"on":[11,58,104],"adaboosted":[12],"relevance":[13],"vector":[14,55],"machine":[15,56],"(RVM).":[16],"The":[17,45,62],"novelty":[18],"of":[19,26,42,64,89,113],"paper":[21],"comes":[22],"from":[23],"the":[24,27,111,114],"construction":[25],"kernel":[28,32],"classifier":[29,69],"with":[30,53,123],"different":[31],"parameters.":[33],"We":[34],"use":[35],"Fisher's":[36],"criterion":[37],"to":[38,92,120],"choose":[39],"subset":[41],"Haar-like":[43],"features.":[44],"proposed":[46,115],"combination":[47,63],"outperforms":[48],"in":[49,51,80,87],"generalization":[50],"comparison":[52],"support":[54],"(SVM)":[57],"imbalanced":[59],"classification":[60,90],"problem.":[61],"boosting":[65],"algorithm":[66],"and":[67,73,100],"RVM":[68,101],"will":[70,77],"yield":[71],"accurate":[72],"sparse":[74],"model":[75],"which":[76],"perform":[78],"well":[79],"real-time":[81],"application.":[82],"This":[83],"method":[84,116],"is":[85,117],"compared,":[86],"terms":[88],"accuracy,":[91],"other":[93],"commonly":[94],"used":[95],"methods,":[96],"such":[97],"as":[98],"SVM":[99],"without":[102],"boosting,":[103],"CBCL":[105],"database.":[107],"Results":[108],"indicate":[109],"that":[110],"performance":[112],"overall":[118],"superior":[119],"previous":[121],"approaches":[122],"very":[124],"good":[125],"sparsity.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
